Book Image

Serverless Design Patterns and Best Practices

By : Brian Zambrano
Book Image

Serverless Design Patterns and Best Practices

By: Brian Zambrano

Overview of this book

Serverless applications handle many problems that developers face when running systems and servers. The serverless pay-per-invocation model can also result in drastic cost savings, contributing to its popularity. While it's simple to create a basic serverless application, it's critical to structure your software correctly to ensure it continues to succeed as it grows. Serverless Design Patterns and Best Practices presents patterns that can be adapted to run in a serverless environment. You will learn how to develop applications that are scalable, fault tolerant, and well-tested. The book begins with an introduction to the different design pattern categories available for serverless applications. You will learn thetrade-offs between GraphQL and REST and how they fare regarding overall application design in a serverless ecosystem. The book will also show you how to migrate an existing API to a serverless backend using AWS API Gateway. You will learn how to build event-driven applications using queuing and streaming systems, such as AWS Simple Queuing Service (SQS) and AWS Kinesis. Patterns for data-intensive serverless application are also explained, including the lambda architecture and MapReduce. This book will equip you with the knowledge and skills you need to develop scalable and resilient serverless applications confidently.
Table of Contents (18 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Migration techniques


In these examples, we've taken a look at a few strategies for implementing a new API using existing API backends. Another common scenario is migrating an existing API to a serverless architecture, without changing any of its functionality. In this scenario, we can still use the proxy pattern and API Gateway. With all of the work in place ready to go, how does one actually deploy a new proxy layer without affecting existing traffic or breaking these clients? The following are a few techniques and deployment strategies that you may consider when faced with this problem.

Staged migration

To replace an existing API with a serverless-based system, it makes sense to first implement the proxy pattern and define the complete API in API Gateway. Each endpoint would simply proxy requests and responses to and from their corresponding APIs on the system to be replaced.

It's even possible to start initial testing with what is called a proxy resource. With this model, one creates a resource...